Pith Number
pith:NYQUGAT5
pith:2020:NYQUGAT5PLQJOFWN46G37CVADU
not attested
not anchored
not stored
refs pending
Interpretable inverse design of particle spectral emissivity using machine learning
arxiv:2002.04223 v1 · 2020-02-11 · physics.optics
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NYQUGAT5PLQJOFWN46G37CVADU}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T00:39:43.426491Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6e2143027d7ae09716cde78dbf8aa01d3fea960fd2915db77805d4fef5f2c799
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NYQUGAT5PLQJOFWN46G37CVADU \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6e2143027d7ae09716cde78dbf8aa01d3fea960fd2915db77805d4fef5f2c799
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed6b8203faa914fea05536f2f536b1919ef5a59adb7e061e99983cc8493760d5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.optics",
"submitted_at": "2020-02-11T06:20:07Z",
"title_canon_sha256": "3f2fe68fb9a2a8e83fd4c3dad0fc231f19e8231b6620c4cb35d2ef81c01faa87"
},
"schema_version": "1.0",
"source": {
"id": "2002.04223",
"kind": "arxiv",
"version": 1
}
}